{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scripts.forest import Forest\n",
    "import scripts.timeseries as ts\n",
    "from sklearn.ensemble import IsolationForest\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l_shingle = 10\n",
    "l_anomaly = 20\n",
    "def create_ts():\n",
    "    A = ts.create_ts(2000,40,0.05)\n",
    "    A, locs = ts.inject_anomalies(A, l_anomaly, 10)\n",
    "    A = A + (np.random.randn(2000)/100)\n",
    "    B = ts.shingle(A, l_shingle)\n",
    "    return A, B, locs\n",
    "#plt.figure(figsize=(20,10))\n",
    "A,B, t_anoms = create_ts()\n",
    "np.shape(B)\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.plot(A, 'b')\n",
    "plt.plot(t_anoms, A[t_anoms], 'ro')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "kwargs = {'max_depth': 12, 'n_trees':20,  'max_samples': 200, 'max_buckets': 3, 'threshold':0, 'sample_axis': 1, 'epsilon':0.1}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_density(pts, err_rate):\n",
    "    forest = Forest(**kwargs)\n",
    "    start = time.time()\n",
    "    forest.fit(pts)\n",
    "    end  = time.time()\n",
    "    print(end - start)\n",
    "    print(forest.n_leaves)\n",
    "    indices, _, _, _ = forest.predict(pts, err=err_rate, pct = 30)\n",
    "    return indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_iso(pts, err):\n",
    "    rng = np.random.RandomState()\n",
    "    dim,n_p = np.shape(pts)\n",
    "    clf = IsolationForest(max_samples = 100, random_state = rng, contamination = err, n_estimators= 30, behaviour = \"new\")\n",
    "    clf.fit(np.transpose(pts))\n",
    "    Y = clf.predict(np.transpose(pts))\n",
    "    iso_indices = []\n",
    "    for i in range(len(Y)):\n",
    "        if Y[i] == -1:\n",
    "            iso_indices.append(i)\n",
    "    return iso_indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_nearest(locs, value):\n",
    "    locs = np.sort(locs)\n",
    "    i = 0\n",
    "    while locs[i] < value:\n",
    "        if i + 1 == len(locs):\n",
    "            return -1,-1\n",
    "        i+=1\n",
    "    return locs[i],i\n",
    "\n",
    "def compute_accuracy(loc, anomalies, l_shingle, l_anomaly):\n",
    "        #print(\"true locations is \", loc)\n",
    "        loc_set = set(loc)\n",
    "        #true_positives = np.zeros(len(loc))\n",
    "        true_positives = 0\n",
    "        false_positives = 0\n",
    "        found_set = {}\n",
    "        found_set = set(found_set)\n",
    "        for anom in anomalies:\n",
    "            anom_set = set(range(anom - l_anomaly - l_shingle, anom + l_anomaly))\n",
    "            res = anom_set.intersection(loc_set)\n",
    "            if res:\n",
    "                true_positives += 1\n",
    "                found_set = found_set.union(res)\n",
    "            else:\n",
    "                false_positives += 1\n",
    "        return true_positives, false_positives, found_set\n",
    "                    \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_iso_ts(ex):\n",
    "    err = 0.005\n",
    "    results = np.zeros((3,12))\n",
    "    for ind in range(12):\n",
    "        err += 0.005\n",
    "        false_positive = 0\n",
    "        false_negative = 0\n",
    "        for i in range(ex):\n",
    "            A,B,t_anom = create_ts()\n",
    "            iso_indices = get_iso(B, err)\n",
    "            t_p, f_p, res = compute_accuracy(t_anom, iso_indices, l_shingle, l_anomaly)\n",
    "            false_positive += f_p\n",
    "            false_negative += (10 - len(res))\n",
    "        results[:,ind] = [err, false_positive/ex, false_negative/ex]\n",
    "    return results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_iso = compute_iso_ts(60)\n",
    "plt.plot(results_iso[1,:],results_iso[2,:])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.025 0.03  0.035 0.04  0.045 0.05  0.055 0.06  0.065 0.07 ]\n"
     ]
    }
   ],
   "source": [
    "print( results_iso[0,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_gsw_ts(ex):\n",
    "    results = np.zeros((3,12))\n",
    "    for i in range(ex):\n",
    "        print(\"computing experiment\", i)\n",
    "        A,B, t_anom = create_ts()\n",
    "        forest = Forest(**kwargs)\n",
    "        forest.fit(B)\n",
    "        err = 0\n",
    "        for ind in range(12):\n",
    "            err += 0.005\n",
    "            gsw_indices, _, _, _ = forest.predict(B, err=err, pct = 30)\n",
    "            t_p, false_positive, res = compute_accuracy(t_anom, gsw_indices, l_shingle, l_anomaly)\n",
    "            false_negative = 10 - len(res)\n",
    "            results[0,ind] += err, \n",
    "            results[1,ind] += false_positive\n",
    "            results[2,ind] += false_negative\n",
    "    return results/ex\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing experiment 0\n",
      "computing experiment 1\n",
      "computing experiment 2\n",
      "computing experiment 3\n",
      "computing experiment 4\n",
      "computing experiment 5\n",
      "computing experiment 6\n",
      "computing experiment 7\n",
      "computing experiment 8\n",
      "computing experiment 9\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_gsw = compute_gsw_ts(10)\n",
    "plt.plot(results_gsw[1,:],results_gsw[2,:])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "recall_iso = (10 - results_iso[2,:])/10\n",
    "recall_gsw = (10 - results_gsw[2,:])/10\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "tp_iso = results_iso[0,:] * 2000 - results_iso[1,:]\n",
    "tp_gsw = results_gsw[0,:] * 2000 - results_gsw[1,:]\n",
    "precision_iso = tp_iso/(results_iso[0,:] * 2000)\n",
    "precision_gsw = tp_gsw/(results_gsw[0,:] * 2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 8.9 17.2 25.4 33.2 40.3 47.  54.4 60.7 66.  69.9 73.8 78.4]\n"
     ]
    }
   ],
   "source": [
    "print(tp_gsw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(recall_iso, precision_iso,'g', label = \"isolation forest\", linewidth = 2, marker = \"v\")\n",
    "plt.plot(recall_gsw, precision_gsw, 'r', label = \"density forest\", linewidth = 2, marker = \"o\")\n",
    "plt.ylabel(\"precision\")\n",
    "plt.xlabel(\"recall\")\n",
    "plt.title(\"Time Series\")\n",
    "plt.legend()\n",
    "plt.savefig(\"timeSeries.pdf\", bbox_inches = 'tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "reca"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
